ARTICLE
Copulas approach for modeling thestochastic dependence of three physico-chemical components of groundwater in theprovince of Sissili (Burkina Faso)
- African Journal of Applied Statistics , 11 (2) : 1613-1627
Lien de l'article :
https://dx.doi.org/10.16929/ajas/2024.1613.284
Discipline :
Mathématiques, Physique, Chimie et Informatique
Auteur(s) :
Fabrice Ouoba, Vini Yves Bernadin Loyara, Sibiri Narcisse Dolemweogo and Diakarya Barro
Renseignée par : OUOBA Fabrice
Résumé
This study aims to model the stochastic dependence between potassium(K+), iron (F e2+), and ammonium (N H+4 ) concentrations in groundwater fromthe Sissili province in Burkina Faso. To achieve this, we rely on the Student,Frank, and H ̈usler–Reiss copulas to capture the full range of hydro-geochemicaldependence structures. This statistical approach provides a reliable, flexible,and robust tool for analyzing environmental characteristics while supporting thesustainable management of water resource.
Mots-clés
copulas; stochastic dependence; groundwater; modeling.